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Data Engineer Sports Analytics Jobs in Iowa (NOW HIRING)

Data Engineer

Davenport, IA · On-site

$108.60K - $130.40K/yr

Lee Enterprises, Inc. is seeking a qualified Data Engineer who will be responsible for designing ... Build, optimize, and manage datasets for analytics, reporting, and operational use * Ensure data ...

Data Engineer

Davenport, IA

$108.60K - $130.40K/yr

Lee Enterprises, Inc. is seeking a qualified Data Engineer who will be responsible for designing ... Build, optimize, and manage datasets for analytics, reporting, and operational use * Ensure data ...

Data Engineer

Johnston, IA · On-site +1

$60 - $75/hr

Collaborating with data scientists, analysts, and business stakeholders to align data engineering solutions with strategic goals and analytical needs. * Implementing and managing scalable data ...

Data Engineer

Davenport, IA · On-site

$108.60K - $130.40K/yr

Lee Enterprises, Inc. is seeking a qualified Data Engineer who will be responsible for designing ... Build, optimize, and manage datasets for analytics, reporting, and operational use * Ensure data ...

Associate Data Engineer

Urbandale, IA · On-site

$106.10K - $127.40K/yr

Associate Data Engineer Urbandale, IA or Remote The Associate Data Engineer supporting Digital ... Develop and manage analytics-ready data models using lakehouse and dimensional modeling patterns ...

Associate Data Engineer

Urbandale, IA · On-site +1

$108.40K - $130.10K/yr

Associate Data Engineer Urbandale, IA or Remote The Associate Data Engineer supporting Digital ... Develop and manage analytics-ready data models using lakehouse and dimensional modeling patterns ...

Associate Data Engineer

Urbandale, IA · On-site +1

$108.40K - $130.10K/yr

Associate Data Engineer Urbandale, IA or Remote The Associate Data Engineer supporting Digital ... Develop and manage analytics-ready data models using lakehouse and dimensional modeling patterns ...

Data Engineer

West Des Moines, IA

$112.40K - $135K/yr

We are looking to add a Data Engineer to join our Information Technology team in West Des Moines ... Proactively monitor pipelines, perform root cause analysis for performance issues, and implement ...

Data Engineer

West Des Moines, IA · On-site

$112.40K - $135K/yr

We are looking to add a Data Engineer to join our Information Technology team in West Des Moines ... Proactively monitor pipelines, perform root cause analysis for performance issues, and implement ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Sr.Data Engineer

Des Moines, IA · On-site

$111.70K - $134.20K/yr

Position Title * Sr. Data Engineer Position Responsibilities Role: Sr. Data Engineer (4595 ... They will be working closely with our product manager and analytics consultant to help develop ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Lead Data Engineer

Cedar Rapids, IA

$112.10K - $134.60K/yr

Work collaboratively with other engineers, data scientists, analytics teams, and business product owners in an agile environment: * Architect, build, and support the operation of Cloud and On ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Lead Data Engineer

Cedar Rapids, IA · On-site

$112.10K - $134.60K/yr

Work collaboratively with other engineers, data scientists, analytics teams, and business product owners in an agile environment: * Architect, build, and support the operation of Cloud and On ...

Sr Data Engineer I

Des Moines, IA · On-site

$111.70K - $134.20K/yr

Provide data engineering and analysis expertise to maximize effectiveness across multiple technologies. Set standards and oversee technical aspects of data management functions including creating ...

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Showing results 1-20

Data Engineer Sports Analytics information

What are the key skills and qualifications needed to thrive as a Data Engineer in Sports Analytics, and why are they important?

To thrive as a Data Engineer in Sports Analytics, you need a strong background in computer science, data modeling, and database management, typically supported by a relevant degree and experience with large data sets. Familiarity with tools and technologies such as SQL, Python, Spark, cloud platforms (AWS, Azure), and ETL pipelines is essential, and certifications in these areas can be advantageous. Excellent problem-solving, teamwork, and communication skills help you collaborate with analysts, coaches, and stakeholders to translate data into actionable insights. These competencies ensure the efficient collection, processing, and delivery of high-quality sports data that drive performance analysis and competitive advantage.

How does a Data Engineer in Sports Analytics typically collaborate with data scientists and analysts on a project?

As a Data Engineer in Sports Analytics, you’ll regularly work alongside data scientists and analysts to ensure high-quality, reliable data is available for modeling and analysis. Your responsibilities often include building and maintaining data pipelines, transforming raw sports data into usable formats, and optimizing data storage for performance. Effective communication is key, as you’ll need to understand the analytical requirements and adjust pipelines or data sources accordingly. Collaboration often happens through regular meetings, shared documentation, and close feedback loops to align on project goals and data needs.

What does a Data Engineer in Sports Analytics do?

A Data Engineer in Sports Analytics designs, builds, and maintains the infrastructure and systems that collect, store, and process large volumes of sports-related data. They ensure data pipelines are efficient and reliable so that analysts and data scientists can access accurate information for player performance analysis, game strategy, and business decisions. Their work involves integrating data from various sources, optimizing databases, and implementing best practices in data security and quality, all within the context of the sports industry.

What is the difference between Data Engineer Sports Analytics vs Data Analyst Sports Analytics?

AspectData Engineer Sports AnalyticsData Analyst Sports Analytics
Primary FocusBuilding and maintaining data pipelines, infrastructure, and databasesAnalyzing data, generating reports, and providing insights
Skills & CertificationsSQL, Python, data warehousing, cloud platformsExcel, SQL, statistical analysis, visualization tools
Work EnvironmentData engineering teams, IT infrastructureBusiness teams, sports analytics departments
Industry UsageSports organizations, tech companies supporting sports dataSports teams, media outlets, betting companies

While Data Engineer Sports Analytics focuses on building and maintaining the data infrastructure necessary for sports data analysis, Data Analyst Sports Analytics concentrates on interpreting that data to generate actionable insights. Both roles are essential in sports analytics but serve different functions within the data ecosystem.

What are popular job titles related to Data Engineer Sports Analytics jobs in Iowa? For Data Engineer Sports Analytics jobs in Iowa, the most frequently searched job titles are:
What cities in Iowa are hiring for Data Engineer Sports Analytics jobs? Cities in Iowa with the most Data Engineer Sports Analytics job openings:

Data Engineer

leeenterprises

Davenport, IA • On-site

$108.60K - $130.40K/yr

Other

Posted 11 days ago


Job description

Lee Enterprises, Inc. is seeking a qualified Data Engineer who will be responsible for designing, building, and optimizing the data infrastructure that powers enterprise analytics, reporting, and data-driven applications. This role focuses on developing scalable data pipelines, ensuring data quality, and enabling efficient access to data across the organization.

This position will be located onsite in Davenport, IA. 

Job Duties & Responsibilities: 

  • Design, develop, and maintain scalable ETL/ELT data pipelines
  • Build, optimize, and manage datasets for analytics, reporting, and operational use
  • Ensure data quality, integrity, security, and adherence to privacy standards
  • Collaborate with teams across the organization to understand business needs, internalize product requirements, adapt to any technical or development limitations, and deliver effective data solutions
  • Write optimized & performative SQL queries across data management systems, including Google BigQuery, MS SQL Server, and Oracle
  • Maintain the organization & relevance of technical documentation, event specifications, and other critical resources in the data services Confluence workspace
  • Employ data transformation tools such as dbt or Dataform to manage, test, and document data workflows
  • Develop data integration pipelines and synchronization functions as needed using languages such as Javascript or Python
  • Support data platform migrations and transitions that may impact customers and internal Lee stakeholders
  • Enhance the current internal data monitoring framework to minimize response time identifying issues & bugs that impact our data services
  • Use git for version control
  • Participate in agile/scrum ceremonies, including daily stand-up, sprint planning, sprint review, and sprint retrospective
  • Pursue opportunities to continuously learn & adopt modern data engineering practices

Required Skills:

  • Mastery of SQL, with system-agnostic knowledge of syntax & optimization
  • Proficiency across Google Cloud Platform, specifically BigQuery, Google Analytics, Google Tag Manager, Dataform, and Dataplex Universal Catalog
  • Experience with relational database management systems, such as MS SQL Server & Oracle
  • Understanding of dimensional & relational data modeling principles, techniques, and use cases
  • Familiarity with data transformation tools such as dbt or Dataform
  • Knowledge of CI/CD and automation tooling
  • Ability to communicate across both technical & non-technical audiences
  • Strong problem-solving skills, attention to detail, and ability to learn quickly

Education and Experience:

  • Bachelor’s degree in computer science, information systems, or a related field
  • Proven experience as a Data Engineer or similar role


Travel Required:

  • Minimal travel may be required for meetings at corporate offices or conferences